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/*
* Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
* Copyright 2015 The TensorFlow Authors. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef __NNFW_CKER_HELPER_RANDOM_OP_H__
#define __NNFW_CKER_HELPER_RANDOM_OP_H__
#include "cker/Types.h"
#include "cker/Shape.h"
#include "cker/Utils.h"
#include "cker/operation/Helper/RandomDistributions.h"
namespace nnfw
{
namespace cker
{
namespace functor
{
template <typename Device, class Distribution> struct FillPhiloxRandom;
typedef Eigen::ThreadPoolDevice CPUDevice;
// Declares the partially CPU-specialized functor struct.
//
// NOTE: Due to inlining done by the compiler, you may need to add
// explicit instantiation of the functor in random_op.cc. See example
// functor::FillPhiloxRandom<CPUDevice, random::UniformDistribution>.
template <class Distribution> struct FillPhiloxRandom<CPUDevice, Distribution>
{
void operator()(random::PhiloxRandom gen, typename Distribution::ResultElementType *data,
int64_t size, Distribution dist);
};
} // namespace functor
} // namespace tensorflow
}
#endif // __NNFW_CKER_HELPER_RANDOM_OP_H__
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